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<p class="Body">GR32_Resamplers.pas provides a comprehensive set of classes that are used within image resampling and rasterization. These classes can roughly be categorized as follows: </p>
<ul>
  <li><span class="EmptyRef">Resamplers</span> &#8212; classes that implement different resampling algorithms; </li>
  <li><span class="EmptyRef">Kernels</span> &#8212; convolution kernels used by <a href="Classes/TKernelResampler/_Body.htm">TKernelResampler</a>; </li>
  <li><span class="EmptyRef">Nested samplers</span> &#8212; <em>transformers</em>, <em>super samplers</em> and <em>kernel samplers</em>. </li>
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<p class="Body">For further information, see topic about <a href="../../Additional%20Topics/Sampling%20and%20Rasterization.htm">Sampling and Rasterization</a>.</p>
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